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Artificial Intelligence

Second CAAI International Conference, CICAI 2022, Beijing, China, August 27–28, 2022, Revised Selected Papers, Part III

  • Conference proceedings
  • © 2022

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Editors:
  1. Lu Fang

    1. Tsinghua University, Beijing, China

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  2. Daniel Povey

    1. Xiaomi Inc., Beijing, China

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  3. Guangtao Zhai

    1. Shanghai Jiao Tong University, Shanghai, China

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  4. Tao Mei

    1. JD Explore Academy, Beijing, China

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  5. Ruiping Wang

    1. Chinese Academy of Sciences, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13606)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: CICAI 2022.

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About this book

This three-volume set LNCS 13604-13606 constitutes revised selected papers presented at the Second CAAI International Conference on Artificial Intelligence, held in Beijing, China, in August 2022. CICAI is a summit forum in the field of artificial intelligence and the 2022 forum was hosted by Chinese Association for Artificial Intelligence (CAAI).

The 164 papers were thoroughly reviewed and selected from 521 submissions. CICAI aims to establish a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others.

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Table of contents (59 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Intelligent Multilingual Information Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A New Method for Assigning Hesitation Based on an IFS Distance Metric

      • Changlin Xu, Yaqing Wen
      Pages 3-14

    3. Adaptive Combination of Filtered-X NLMS and Affine Projection Algorithms for Active Noise Control

      • Xichao Wang, Shifeng Ou, Yunhe Pang
      Pages 15-25

    4. Linguistic Interval-Valued Spherical Fuzzy Sets and Related Properties

      • Yanzhe Liu, Ye Zhang, Xiaosong Cui, Li Zou
      Pages 26-36

  3. Knowledge Representation and Reasoning

    1. Front Matter

      Pages 37-37
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    2. A Genetic Algorithm for Causal Discovery Based on Structural Causal Model

      • Zhengyin Chen, Kun Liu, Wenpin Jiao
      Pages 39-54

    3. Stochastic and Dual Adversarial GAN-Boosted Zero-Shot Knowledge Graph

      • Xuejiao Liu, Yaowei Guo, Meiyu Huang, Xueshuang Xiang
      Pages 55-67

  4. Machine Learning

    1. Front Matter

      Pages 69-69
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    2. LS-YOLO: Lightweight SAR Ship Targets Detection Based on Improved YOLOv5

      • Yaqi He, Zi-Xin Li, Yu-Long Wang
      Pages 71-80

    3. Dictionary Learning-Based Reinforcement Learning with Non-convex Sparsity Regularizer

      • Haoli Zhao, Junkui Wang, Xingming Huang, Zhenini Li, Shengli Xie
      Pages 81-93

    4. Deep Twin Support Vector Networks

      • Mingchen Li, Zhiji Yang
      Pages 94-106

    5. Region-Based Dense Adversarial Generation for Medical Image Segmentation

      • Ao Shen, Liang Sun, Mengting Xu, Daoqiang Zhang
      Pages 107-118

    6. Dynamic Clustering Federated Learning for Non-IID Data

      • Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen
      Pages 119-131

    7. Dynamic Network Embedding by Using Sparse Deep Autoencoder

      • Huimei Tang, Zengyang Shao, Yutao Zhang, Lijia Ma, Qiuzhen Lin
      Pages 132-143

    8. Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon

      • Rui Jin, Yibing Zhan, Rong Zhang
      Pages 144-154

    9. Clustering-based Curriculum Construction for Sample-Balanced Federated Learning

      • Zhuang Qi, Yuqing Wang, Zitan Chen, Ran Wang, Xiangxu Meng, Lei Meng
      Pages 155-166

    10. A Novel Nonlinear Dictionary Learning Algorithm Based on Nonlinear-KSVD and Nonlinear-MOD

      • Xiaoju Chen, Yujie Li, Shuxue Ding, Benying Tan, Yuqi Jiang
      Pages 167-179

    11. Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning

      • Hao Chen, Yuhao Ge, Jiahao Wei, Huimin Xiong, Zuozhu Liu
      Pages 180-191

  5. Multi-agent Systems

    1. Front Matter

      Pages 193-193
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Other volumes

  1. Artificial Intelligence

  2. Artificial Intelligence

  3. Artificial Intelligence

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Lu Fang

  • Xiaomi Inc., Beijing, China

    Daniel Povey

  • Shanghai Jiao Tong University, Shanghai, China

    Guangtao Zhai

  • JD Explore Academy, Beijing, China

    Tao Mei

  • Chinese Academy of Sciences, Beijing, China

    Ruiping Wang

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